The consequences of spatial structure for the design and analysis of ecological field surveys
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Abstract
In ecological field surveys, observations are gathered at different spatial locations. The purpose may be to relate biological response variables (e.g., species abundances) to explanatory environmental variables (e.g., soil characteristics). In the absence of prior knowledge, ecologists have been taught to rely on systematic or random sampling designs. If there is prior knowledge about the spatial patterning of the explanatory variables, obtained from either previous surveys or a pilot study, can we use this information to optimize the sampling design in order to maximize our ability to detect the relationships between the response and explanatory variables? The specific questions addressed in this paper are:…
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6Topics & keywords
Topics
Keywords
- Spatial analysis
- Autocorrelation
- Sampling (signal processing)
- Statistics
- Ecology
- Field (mathematics)
- Regression analysis
- Type I and type II errors
UN Sustainable Development Goals
- Life in Land
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